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  5. Decisions, dopamine and degeneracy in complex biological systems
 
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Decisions, dopamine and degeneracy in complex biological systems

Author(s)
Regan, Ciaran M.  
Uri
http://hdl.handle.net/10197/5264
Date Issued
2014-01
Date Available
2014-01-27T14:20:33Z
Abstract
The neurobiological and computational analysis of value-based decision-making rests
within the domain of neuroeconomics which has the goal of providing a biological
account of human behavior relevant to both natural and social sciences. This review
proposes a framework to investigate different aspects of the theoretical and molecular
neurobiology of decision-making. In order to learn how to make good decisions the
brain needs to compute a separate value signal that measures the desirability of the
outcomes that were generated by its previous decisions. The framework presented
here combines aspects of current ideas relating to information processing by the
hippocampal formation and how these relate to the phasic midbrain dopaminergic
firing that occurs in response to the spatial and motivational aspects of rewarding
events in the environment. The activities of hippocampal ensembles are considered to
reflect a continuous updating process for attended experiences, defining both regular
and irregular stimuli, environments and actions, which are rapidly encoded as
schemas into pre-existing knowledge bases.
Type of Material
Journal Article
Publisher
Dovepress
Journal
Neuroscience and Neuroeconomics
Volume
2014
Issue
3
Start Page
11
End Page
18
Copyright (Published Version)
2014 the Author
Subjects

Hippocampus

Schemas

Synapse assemblies

Cell assemblies

Synapse plasticity

DOI
10.2147/NAN.S32234
Web versions
http://www.dovepress.com/neuroscience-and-neuroeconomics-journal
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Owning collection
Biomolecular and Biomedical Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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